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System and Method For Statistical Shape Model Based Segmentation of Intravascular Ultrasound and Optical Coherence Tomography Images

机译:基于统计形状模型的血管内超声和光学相干断层扫描图像分割系统和方法

摘要

A method for segmenting intravascular images includes acquiring a series of digitized images acquired from inside a vessel, each said image comprising a plurality of intensities corresponding to a 2-dimensional grid of pixels, providing a precomputed set of shapes for modeling contours of vessel wall boundaries, wherein a contour can be expressed as a sum of a mean shape and a inner product of shape modes and shape weights, initializing a boundary contour for one of said set of images, initializing said shape weights by projecting a contour into said shape modes, updating said shape weights from differential equations of said shape weights, and computing a contour by summing said mean shape and said inner product of shape modes and updated shape weights.
机译:一种用于分割血管内图像的方法,包括获取从血管内部获取的一系列数字化图像,每个所述图像包括与像素的二维网格相对应的多个强度,提供用于建模血管壁边界的轮廓的预先计算的一组形状。 ,其中轮廓可以表示为平均形状与形状模式和形状权重的内积之和,初始化所述一组图像之一的边界轮廓,通过将轮廓投影到所述形状模式来初始化所述形状权重,从所述形状权重的微分方程更新所述形状权重,并通过将所述平均形状与所述形状模式的内积和更新后的形状权重相加来计算轮廓。

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